Relative_Permeability/RelPerm.ipynb

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        "<a href=\"https://colab.research.google.com/github/Philliec459/Open-Source-Petrophysics/blob/main/Relative_Permeability/RelPerm.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "id": "784e4bc3-d8c0-4437-8949-ef0fab3c1bf9",
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      "outputs": [],
      "source": [
        "using_colab = True"
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            "--2024-08-31 19:01:54--  https://github.com/Philliec459/Open-Source-Petrophysics/blob/main/Relative_Permeability/RelativePerm.gif\n",
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      "source": [
        "if using_colab:\n",
        "\n",
        "    !wget 'https://github.com/Philliec459/Open-Source-Petrophysics/blob/main/Relative_Permeability/RelativePerm.gif'\n",
        "    #!wget 'https://github.com/Philliec459/Open-Source-Petrophysics/raw/main/Mode.png'\n",
        "    #!wget 'https://github.com/Philliec459/Open-Source-Petrophysics/raw/main/photos.ZIP'\n",
        "\n",
        "    #https://github.com/Philliec459/Science-and-Technology-Society-Use-of-NASA-STELLA-Q2-Spectrometer/raw/main/STELLA_brief_ver2_backyard_grass_shoreline.ipynb\n",
        "    #https://github.com/Philliec459/Science-and-Technology-Society-Use-of-NASA-STELLA-Q2-Spectrometer/raw/main/data_white_grass_shade_whiteshade.xlsx\n",
        "    #https://github.com/Philliec459/Science-and-Technology-Society-Use-of-NASA-STELLA-Q2-Spectrometer/raw/main/data_white_FullSun.xlsx\n",
        "\n",
        "    #!pip install altair\n",
        "    #!pip install panel\n",
        "    #!pip install pillow\n",
        "    !pip install jupyter_bokeh\n",
        "\n",
        "    #!unzip photos\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b64747ae-80a7-4b74-bd04-4ab402908edc",
      "metadata": {
        "id": "b64747ae-80a7-4b74-bd04-4ab402908edc"
      },
      "source": [
        "---\n",
        "# Relative Permeability and Fractional Flow in Reservoir Engineering:\n",
        "---\n",
        "\n",
        "The Corey relative permeability technique, also known as Corey-Brooks or Corey-Krümmelbein method, is a widely used empirical approach to model the relative permeability curves of two-phase flow in porous media, typically for oil-water or gas-water systems. Developed by L.C. Corey in 1954, this technique provides a simple and practical way to estimate the relative permeabilities of oil and water (or gas and water) at different fluid saturations. The method is particularly valuable when direct measurements of relative permeability are not available or are challenging to obtain.\n",
        "\n",
        "in this example we are using python’s Panel widgets to set the Corey Exponents (Corey_m and Corey_n), Connate Water (Swc) and Residual Oil (Sor), Viscosity of Oil (μo) and Viscosity of Water (μw) to construct our Relative Permeability and Fractional Flow Curves.\n",
        "\n",
        ">\n",
        ">![cbw_vsh](https://github.com/Philliec459/Open-Source-Petrophysics/blob/main/RelativePerm.gif?raw=1)\n",
        ">\n",
        "\n",
        "\n",
        "\n",
        "**1. Relative Permeability:**\n",
        "In reservoir engineering, relative permeability is a fundamental concept used to describe the effective permeability of fluids within a porous rock formation. A reservoir rock is typically composed of interconnected pores, and when it contains multiple fluids (e.g., oil, water, gas), the flow behavior of each fluid is influenced by the presence of the others. Relative permeability accounts for this interaction and quantifies the ability of a fluid to flow through the rock at different fluid saturations.\n",
        "\n",
        "At the beginning of reservoir production, the reservoir may contain a mixture of oil, water, and gas. As production proceeds, the saturation of each fluid phase changes, impacting the fluid flow behavior within the reservoir. Relative permeability curves characterize the relationship between fluid saturation and the effective permeability of each phase.\n",
        "\n",
        "For example, in an oil-water reservoir, the oil relative permeability (Kro) is high at low water saturation, allowing oil to flow more easily through the rock. As water saturation increases due to water flooding or water injection during secondary recovery, the water relative permeability (Krw) becomes significant. Krw then displaces oil, leading to a reduction in oil production rates.\n",
        "\n",
        "**2. Fractional Flow:**\n",
        "Fractional flow is a critical concept in reservoir engineering that describes the displacement of fluids in porous rock formations, particularly in the context of oil-water systems. During secondary recovery methods, such as water flooding, water is injected into the reservoir to maintain reservoir pressure and displace the oil.\n",
        "\n",
        "Fractional flow (Fw) represents the ratio of the water phase velocity to the total velocity of both oil and water phases. It plays a crucial role in understanding reservoir productivity during secondary recovery. The fractional flow equation accounts for the relative permeability of both phases and the effect of fluid viscosities:\n",
        "\n",
        "            Fw = 1 / (1 + Kro * μw / (Krw * μo))\n",
        "\n",
        "Where:\n",
        "- Fw: Fractional flow of water\n",
        "- Kro: Oil relative permeability\n",
        "- Krw: Water relative permeability\n",
        "- μo: Oil viscosity at reservoir conditions\n",
        "- μw: Water viscosity at reservoir conditions\n",
        "\n",
        "The fractional flow profile shifts towards Fw = 1 as the reservoir is water-flooded or injected with water. At this point, water becomes the dominant phase, displacing oil and leading to a decline in oil production rates. Reservoir engineers consider fractional flow behavior, along with relative permeability, to optimize water injection rates and enhance oil recovery efficiency.\n",
        "\n",
        "**Conclusion:**\n",
        "Relative permeability and fractional flow are essential concepts in reservoir engineering that govern fluid flow behavior in porous rock formations. Relative permeability describes the effective permeability of fluids at different saturations, while fractional flow characterizes the proportion of water phase velocity to the total velocity.\n",
        "\n",
        "Understanding relative permeability and fractional flow is vital for optimizing reservoir management strategies and maximizing oil recovery rates. By employing secondary recovery methods based on these concepts, engineers can enhance reservoir productivity, improve hydrocarbon recovery, and ensure efficient and sustainable oil production from subsurface reservoirs."
      ]
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      "source": [
        "---\n",
        "# Corey Empirical Approach to Relative Permeability Modeling:\n",
        "---\n",
        "\n",
        "The Corey relative permeability technique, also known as Corey-Brooks or Corey-Krümmelbein method, is a widely used empirical approach to model the relative permeability curves of two-phase flow in porous media, typically for oil-water or gas-water systems. Developed by L.C. Corey in 1954, this technique provides a simple and practical way to estimate the relative permeabilities of oil and water (or gas and water) at different fluid saturations. The method is particularly valuable when direct measurements of relative permeability are not available or are challenging to obtain.\n",
        "\n",
        "**Key Concepts:**\n",
        "The Corey relative permeability technique is based on the following key concepts:\n",
        "\n",
        "1. **Corey Exponents:** The technique uses Corey exponents (n and m) to characterize the shape of the relative permeability curves for oil and water, respectively. These exponents are empirical parameters and determine the rate at which the relative permeability of each phase changes with fluid saturation.\n",
        "\n",
        "2. **Connate Water Saturation (Swc) and Residual Oil Saturation (Sor):** Swc represents the water saturation in the reservoir rock at which oil relative permeability becomes zero. Sor is the residual oil saturation, indicating the oil saturation at which water relative permeability becomes zero. These parameters define the endpoints of the relative permeability curves.\n",
        "\n",
        "3. **Maximum Relative Permeabilities (Kro_max and Krw_max):** These parameters represent the maximum relative permeabilities of oil and water at their respective endpoints. They determine the upper limits of the relative permeability curves.\n",
        "\n",
        "**Corey Relative Permeability Equations:**\n",
        "Based on the above concepts, the Corey relative permeability equations for oil and water are as follows:\n",
        "\n",
        "Corey oil relative permeability (Kro):\n",
        "        Kro = Kro_max * ((1 - Sw - Sor) / (1 - Swc - Sor))^n\n",
        "\n",
        "Corey water relative permeability (Krw):\n",
        "        Krw = Krw_max * ((Sw - Swc) / (1 - Swc - Sor))^m\n",
        "\n",
        "Where:\n",
        "- Kro: Oil relative permeability\n",
        "- Krw: Water relative permeability\n",
        "- Sw: Water saturation\n",
        "- Swc: Connate water saturation\n",
        "- Sor: Residual oil saturation\n",
        "- Kro_max: Maximum oil relative permeability (Kro at Sw = 0)\n",
        "- Krw_max: Maximum water relative permeability (Krw at Sw = 1)\n",
        "- n and m: Corey exponents for oil and water relative permeabilities, respectively.\n",
        "\n",
        "**Application and Interpretation:**\n",
        "The Corey relative permeability technique is commonly used in reservoir simulation and history matching, where direct measurements of relative permeabilities may be unavailable or limited. By adjusting the Corey exponents and maximum relative permeabilities, engineers can match the technique's modeled relative permeability curves to laboratory or field data.\n",
        "\n",
        "The Swc and Sor values represent crucial reservoir parameters that can impact fluid displacement during secondary recovery operations like water flooding. Accurate estimation of these values is essential for predicting reservoir behavior and optimizing recovery strategies.\n",
        "\n",
        "It is important to note that the Corey technique is empirical and may not capture all nuances of relative permeability behavior in complex reservoirs. As a result, the method may have limitations in some scenarios, such as multiphase flow in tight formations or unconventional reservoirs. In such cases, more advanced modeling techniques may be necessary.\n",
        "\n",
        "**Conclusion:**\n",
        "The Corey relative permeability technique is a valuable and widely used empirical method to estimate the relative permeabilities of oil and water (or gas and water) in porous media. By employing Corey exponents and maximum relative permeabilities, the technique provides a practical way to model relative permeability curves, aiding reservoir engineers in understanding fluid flow behavior and optimizing recovery strategies in hydrocarbon reservoirs."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "484c580a-6005-4c2a-8471-26770dbf387c",
      "metadata": {
        "id": "484c580a-6005-4c2a-8471-26770dbf387c"
      },
      "source": [
        "---\n",
        "# Corey Method using Panel Slide Bars:\n",
        "---\n",
        "\n",
        "**In this example we are using Panel widgets to set the Corey Exponents (Corey_m and Corey_n), Connate Water (Swc) and Residual Oil (Sor), Viscosity of Oil (μo) and Viscosity of Water (μw) to construct our Relative Permeability and Fractional Flow Curves**\n",
        "\n",
        "The objective of this example is to create the Relative Permeability curves for oil and water and calculate fractional flow by varying our input parameters Corey_m, Corey_n, Swc and Sor, μo, μw using Panel slide bars for a real-time set of curves.\n",
        "\n",
        "We want to use this technique to estimate fractian flow along the reservoir interval to determine where to perforate for water-free hydrocarbon production. With this objective in mind, Sor should be set at 0.0 since we want to estimate fractional flow from drainage Relative Permeability curves (Oil displacing Water) and not Imbibition Relative Permeability Curves (Water displacing Oil) used for Water Flood fractional flows.\n",
        "\n",
        "---\n",
        "\n",
        "## Load Python Libraries:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "69854651-26f9-438f-a4a0-868a5415deab",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "69854651-26f9-438f-a4a0-868a5415deab",
        "outputId": "bcaaeaa7-3070-4312-e0f6-2712d844a259"
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      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "  var force = true;\n",
              "  var py_version = '3.4.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
              "  var reloading = false;\n",
              "  var Bokeh = root.Bokeh;\n",
              "\n",
              "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
              "    root._bokeh_timeout = Date.now() + 5000;\n",
              "    root._bokeh_failed_load = false;\n",
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              "\n",
              "  function run_callbacks() {\n",
              "    try {\n",
              "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
              "        if (callback != null)\n",
              "          callback();\n",
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              "    } finally {\n",
              "      delete root._bokeh_onload_callbacks;\n",
              "    }\n",
              "    console.debug(\"Bokeh: all callbacks have finished\");\n",
              "  }\n",
              "\n",
              "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
              "    if (css_urls == null) css_urls = [];\n",
              "    if (js_urls == null) js_urls = [];\n",
              "    if (js_modules == null) js_modules = [];\n",
              "    if (js_exports == null) js_exports = {};\n",
              "\n",
              "    root._bokeh_onload_callbacks.push(callback);\n",
              "\n",
              "    if (root._bokeh_is_loading > 0) {\n",
              "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
              "      return null;\n",
              "    }\n",
              "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
              "      run_callbacks();\n",
              "      return null;\n",
              "    }\n",
              "    if (!reloading) {\n",
              "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
              "    }\n",
              "\n",
              "    function on_load() {\n",
              "      root._bokeh_is_loading--;\n",
              "      if (root._bokeh_is_loading === 0) {\n",
              "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
              "        run_callbacks()\n",
              "      }\n",
              "    }\n",
              "    window._bokeh_on_load = on_load\n",
              "\n",
              "    function on_error() {\n",
              "      console.error(\"failed to load \" + url);\n",
              "    }\n",
              "\n",
              "    var skip = [];\n",
              "    if (window.requirejs) {\n",
              "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
              "      root._bokeh_is_loading = css_urls.length + 0;\n",
              "    } else {\n",
              "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
              "    }\n",
              "\n",
              "    var existing_stylesheets = []\n",
              "    var links = document.getElementsByTagName('link')\n",
              "    for (var i = 0; i < links.length; i++) {\n",
              "      var link = links[i]\n",
              "      if (link.href != null) {\n",
              "\texisting_stylesheets.push(link.href)\n",
              "      }\n",
              "    }\n",
              "    for (var i = 0; i < css_urls.length; i++) {\n",
              "      var url = css_urls[i];\n",
              "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
              "\ton_load()\n",
              "\tcontinue;\n",
              "      }\n",
              "      const element = document.createElement(\"link\");\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.rel = \"stylesheet\";\n",
              "      element.type = \"text/css\";\n",
              "      element.href = url;\n",
              "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
              "      document.body.appendChild(element);\n",
              "    }    var existing_scripts = []\n",
              "    var scripts = document.getElementsByTagName('script')\n",
              "    for (var i = 0; i < scripts.length; i++) {\n",
              "      var script = scripts[i]\n",
              "      if (script.src != null) {\n",
              "\texisting_scripts.push(script.src)\n",
              "      }\n",
              "    }\n",
              "    for (var i = 0; i < js_urls.length; i++) {\n",
              "      var url = js_urls[i];\n",
              "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
              "\tif (!window.requirejs) {\n",
              "\t  on_load();\n",
              "\t}\n",
              "\tcontinue;\n",
              "      }\n",
              "      var element = document.createElement('script');\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.src = url;\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "    for (var i = 0; i < js_modules.length; i++) {\n",
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              "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
              "\tif (!window.requirejs) {\n",
              "\t  on_load();\n",
              "\t}\n",
              "\tcontinue;\n",
              "      }\n",
              "      var element = document.createElement('script');\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.src = url;\n",
              "      element.type = \"module\";\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "    for (const name in js_exports) {\n",
              "      var url = js_exports[name];\n",
              "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
              "\tif (!window.requirejs) {\n",
              "\t  on_load();\n",
              "\t}\n",
              "\tcontinue;\n",
              "      }\n",
              "      var element = document.createElement('script');\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.type = \"module\";\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      element.textContent = `\n",
              "      import ${name} from \"${url}\"\n",
              "      window.${name} = ${name}\n",
              "      window._bokeh_on_load()\n",
              "      `\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "    if (!js_urls.length && !js_modules.length) {\n",
              "      on_load()\n",
              "    }\n",
              "  };\n",
              "\n",
              "  function inject_raw_css(css) {\n",
              "    const element = document.createElement(\"style\");\n",
              "    element.appendChild(document.createTextNode(css));\n",
              "    document.body.appendChild(element);\n",
              "  }\n",
              "\n",
              "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.3.min.js\", \"https://cdn.holoviz.org/panel/1.4.5/dist/panel.min.js\"];\n",
              "  var js_modules = [];\n",
              "  var js_exports = {};\n",
              "  var css_urls = [];\n",
              "  var inline_js = [    function(Bokeh) {\n",
              "      Bokeh.set_log_level(\"info\");\n",
              "    },\n",
              "function(Bokeh) {} // ensure no trailing comma for IE\n",
              "  ];\n",
              "\n",
              "  function run_inline_js() {\n",
              "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
              "      for (var i = 0; i < inline_js.length; i++) {\n",
              "\ttry {\n",
              "          inline_js[i].call(root, root.Bokeh);\n",
              "\t} catch(e) {\n",
              "\t  if (!reloading) {\n",
              "\t    throw e;\n",
              "\t  }\n",
              "\t}\n",
              "      }\n",
              "      // Cache old bokeh versions\n",
              "      if (Bokeh != undefined && !reloading) {\n",
              "\tvar NewBokeh = root.Bokeh;\n",
              "\tif (Bokeh.versions === undefined) {\n",
              "\t  Bokeh.versions = new Map();\n",
              "\t}\n",
              "\tif (NewBokeh.version !== Bokeh.version) {\n",
              "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
              "\t}\n",
              "\troot.Bokeh = Bokeh;\n",
              "      }} else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(run_inline_js, 100);\n",
              "    } else if (!root._bokeh_failed_load) {\n",
              "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
              "      root._bokeh_failed_load = true;\n",
              "    }\n",
              "    root._bokeh_is_initializing = false\n",
              "  }\n",
              "\n",
              "  function load_or_wait() {\n",
              "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
              "    // versions of Bokeh and its dependencies at the same time.\n",
              "    // In recent versions we use the root._bokeh_is_initializing flag\n",
              "    // to determine whether there is an ongoing attempt to initialize\n",
              "    // bokeh, however for backward compatibility we also try to ensure\n",
              "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
              "    // before older versions are fully initialized.\n",
              "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
              "      root._bokeh_is_initializing = false;\n",
              "      root._bokeh_onload_callbacks = undefined;\n",
              "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
              "      load_or_wait();\n",
              "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
              "      setTimeout(load_or_wait, 100);\n",
              "    } else {\n",
              "      root._bokeh_is_initializing = true\n",
              "      root._bokeh_onload_callbacks = []\n",
              "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
              "      if (!reloading && !bokeh_loaded) {\n",
              "\troot.Bokeh = undefined;\n",
              "      }\n",
              "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
              "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
              "\trun_inline_js();\n",
              "      });\n",
              "    }\n",
              "  }\n",
              "  // Give older versions of the autoload script a head-start to ensure\n",
              "  // they initialize before we start loading newer version.\n",
              "  setTimeout(load_or_wait, 100)\n",
              "}(window));"
            ],
            "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.3.min.js\", \"https://cdn.holoviz.org/panel/1.4.5/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || 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scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n",
            "application/javascript": [
              "\n",
              "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
              "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
              "}\n",
              "\n",
              "\n",
              "    function JupyterCommManager() {\n",
              "    }\n",
              "\n",
              "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
              "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
              "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
              "        comm_manager.register_target(comm_id, function(comm) {\n",
              "          comm.on_msg(msg_handler);\n",
              "        });\n",
              "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
              "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
              "          comm.onMsg = msg_handler;\n",
              "        });\n",
              "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
              "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
              "          var messages = comm.messages[Symbol.asyncIterator]();\n",
              "          function processIteratorResult(result) {\n",
              "            var message = result.value;\n",
              "            console.log(message)\n",
              "            var content = {data: message.data, comm_id};\n",
              "            var buffers = []\n",
              "            for (var buffer of message.buffers || []) {\n",
              "              buffers.push(new DataView(buffer))\n",
              "            }\n",
              "            var metadata = message.metadata || {};\n",
              "            var msg = {content, buffers, metadata}\n",
              "            msg_handler(msg);\n",
              "            return messages.next().then(processIteratorResult);\n",
              "          }\n",
              "          return messages.next().then(processIteratorResult);\n",
              "        })\n",
              "      }\n",
              "    }\n",
              "\n",
              "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
              "      if (comm_id in window.PyViz.comms) {\n",
              "        return window.PyViz.comms[comm_id];\n",
              "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
              "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
              "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
              "        if (msg_handler) {\n",
              "          comm.on_msg(msg_handler);\n",
              "        }\n",
              "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
              "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
              "        comm.open();\n",
              "        if (msg_handler) {\n",
              "          comm.onMsg = msg_handler;\n",
              "        }\n",
              "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
              "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
              "        comm_promise.then((comm) => {\n",
              "          window.PyViz.comms[comm_id] = comm;\n",
              "          if (msg_handler) {\n",
              "            var messages = comm.messages[Symbol.asyncIterator]();\n",
              "            function processIteratorResult(result) {\n",
              "              var message = result.value;\n",
              "              var content = {data: message.data};\n",
              "              var metadata = message.metadata || {comm_id};\n",
              "              var msg = {content, metadata}\n",
              "              msg_handler(msg);\n",
              "              return messages.next().then(processIteratorResult);\n",
              "            }\n",
              "            return messages.next().then(processIteratorResult);\n",
              "          }\n",
              "        }) \n",
              "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
              "          return comm_promise.then((comm) => {\n",
              "            comm.send(data, metadata, buffers, disposeOnDone);\n",
              "          });\n",
              "        };\n",
              "        var comm = {\n",
              "          send: sendClosure\n",
              "        };\n",
              "      }\n",
              "      window.PyViz.comms[comm_id] = comm;\n",
              "      return comm;\n",
              "    }\n",
              "    window.PyViz.comm_manager = new JupyterCommManager();\n",
              "    \n",
              "\n",
              "\n",
              "var JS_MIME_TYPE = 'application/javascript';\n",
              "var HTML_MIME_TYPE = 'text/html';\n",
              "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
              "var CLASS_NAME = 'output';\n",
              "\n",
              "/**\n",
              " * Render data to the DOM node\n",
              " */\n",
              "function render(props, node) {\n",
              "  var div = document.createElement(\"div\");\n",
              "  var script = document.createElement(\"script\");\n",
              "  node.appendChild(div);\n",
              "  node.appendChild(script);\n",
              "}\n",
              "\n",
              "/**\n",
              " * Handle when a new output is added\n",
              " */\n",
              "function handle_add_output(event, handle) {\n",
              "  var output_area = handle.output_area;\n",
              "  var output = handle.output;\n",
              "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
              "    return\n",
              "  }\n",
              "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
              "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
              "  if (id !== undefined) {\n",
              "    var nchildren = toinsert.length;\n",
              "    var html_node = toinsert[nchildren-1].children[0];\n",
              "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
              "    var scripts = [];\n",
              "    var nodelist = html_node.querySelectorAll(\"script\");\n",
              "    for (var i in nodelist) {\n",
              "      if (nodelist.hasOwnProperty(i)) {\n",
              "        scripts.push(nodelist[i])\n",
              "      }\n",
              "    }\n",
              "\n",
              "    scripts.forEach( function (oldScript) {\n",
              "      var newScript = document.createElement(\"script\");\n",
              "      var attrs = [];\n",
              "      var nodemap = oldScript.attributes;\n",
              "      for (var j in nodemap) {\n",
              "        if (nodemap.hasOwnProperty(j)) {\n",
              "          attrs.push(nodemap[j])\n",
              "        }\n",
              "      }\n",
              "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
              "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
              "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
              "    });\n",
              "    if (JS_MIME_TYPE in output.data) {\n",
              "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
              "    }\n",
              "    output_area._hv_plot_id = id;\n",
              "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
              "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
              "    } else {\n",
              "      window.PyViz.plot_index[id] = null;\n",
              "    }\n",
              "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
              "    var bk_div = document.createElement(\"div\");\n",
              "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
              "    var script_attrs = bk_div.children[0].attributes;\n",
              "    for (var i = 0; i < script_attrs.length; i++) {\n",
              "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
              "    }\n",
              "    // store reference to server id on output_area\n",
              "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
              "  }\n",
              "}\n",
              "\n",
              "/**\n",
              " * Handle when an output is cleared or removed\n",
              " */\n",
              "function handle_clear_output(event, handle) {\n",
              "  var id = handle.cell.output_area._hv_plot_id;\n",
              "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
              "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
              "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
              "  if (server_id !== null) {\n",
              "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
              "    return;\n",
              "  } else if (comm !== null) {\n",
              "    comm.send({event_type: 'delete', 'id': id});\n",
              "  }\n",
              "  delete PyViz.plot_index[id];\n",
              "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
              "    var doc = window.Bokeh.index[id].model.document\n",
              "    doc.clear();\n",
              "    const i = window.Bokeh.documents.indexOf(doc);\n",
              "    if (i > -1) {\n",
              "      window.Bokeh.documents.splice(i, 1);\n",
              "    }\n",
              "  }\n",
              "}\n",
              "\n",
              "/**\n",
              " * Handle kernel restart event\n",
              " */\n",
              "function handle_kernel_cleanup(event, handle) {\n",
              "  delete PyViz.comms[\"hv-extension-comm\"];\n",
              "  window.PyViz.plot_index = {}\n",
              "}\n",
              "\n",
              "/**\n",
              " * Handle update_display_data messages\n",
              " */\n",
              "function handle_update_output(event, handle) {\n",
              "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
              "  handle_add_output(event, handle)\n",
              "}\n",
              "\n",
              "function register_renderer(events, OutputArea) {\n",
              "  function append_mime(data, metadata, element) {\n",
              "    // create a DOM node to render to\n",
              "    var toinsert = this.create_output_subarea(\n",
              "    metadata,\n",
              "    CLASS_NAME,\n",
              "    EXEC_MIME_TYPE\n",
              "    );\n",
              "    this.keyboard_manager.register_events(toinsert);\n",
              "    // Render to node\n",
              "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
              "    render(props, toinsert[0]);\n",
              "    element.append(toinsert);\n",
              "    return toinsert\n",
              "  }\n",
              "\n",
              "  events.on('output_added.OutputArea', handle_add_output);\n",
              "  events.on('output_updated.OutputArea', handle_update_output);\n",
              "  events.on('clear_output.CodeCell', handle_clear_output);\n",
              "  events.on('delete.Cell', handle_clear_output);\n",
              "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
              "\n",
              "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
              "    safe: true,\n",
              "    index: 0\n",
              "  });\n",
              "}\n",
              "\n",
              "if (window.Jupyter !== undefined) {\n",
              "  try {\n",
              "    var events = require('base/js/events');\n",
              "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
              "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
              "      register_renderer(events, OutputArea);\n",
              "    }\n",
              "  } catch(err) {\n",
              "  }\n",
              "}\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<style>*[data-root-id],\n",
              "*[data-root-id] > * {\n",
              "  box-sizing: border-box;\n",
              "  font-family: var(--jp-ui-font-family);\n",
              "  font-size: var(--jp-ui-font-size1);\n",
              "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
              "}\n",
              "\n",
              "/* Override VSCode background color */\n",
              ".cell-output-ipywidget-background:has(\n",
              "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
              "  ),\n",
              ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
              "  background-color: transparent !important;\n",
              "}\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div id='53cc45ae-0a87-402e-8085-9497026d3d3e'>\n",
              "  <div id=\"f552e936-7877-4aa5-8ae3-33bbb6729109\" data-root-id=\"53cc45ae-0a87-402e-8085-9497026d3d3e\" style=\"display: contents;\"></div>\n",
              "</div>\n",
              "<script type=\"application/javascript\">(function(root) {\n",
              "  var docs_json = {\"cffffa27-b4b3-4798-8483-54eeeafa609c\":{\"version\":\"3.4.3\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"53cc45ae-0a87-402e-8085-9497026d3d3e\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"c98bd5a2-52ce-4dd3-9c10-3b6864e219f7\",\"attributes\":{\"plot_id\":\"53cc45ae-0a87-402e-8085-9497026d3d3e\",\"comm_id\":\"f1b9107da7b9424b8b2898d6d5729766\",\"client_comm_id\":\"5f8d04d958fc447fbe90dd57e255b3d7\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
              "  var render_items = [{\"docid\":\"cffffa27-b4b3-4798-8483-54eeeafa609c\",\"roots\":{\"53cc45ae-0a87-402e-8085-9497026d3d3e\":\"f552e936-7877-4aa5-8ae3-33bbb6729109\"},\"root_ids\":[\"53cc45ae-0a87-402e-8085-9497026d3d3e\"]}];\n",
              "  var docs = Object.values(docs_json)\n",
              "  if (!docs) {\n",
              "    return\n",
              "  }\n",
              "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
              "  async function embed_document(root) {\n",
              "    var Bokeh = get_bokeh(root)\n",
              "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
              "    for (const render_item of render_items) {\n",
              "      for (const root_id of render_item.root_ids) {\n",
              "\tconst id_el = document.getElementById(root_id)\n",
              "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
              "\t  const root_el = id_el.children[0]\n",
              "\t  root_el.id = root_el.id + '-rendered'\n",
              "\t  for (const child of root_el.children) {\n",
              "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
              "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
              "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
              "\t  }\n",
              "\t}\n",
              "      }\n",
              "    }\n",
              "  }\n",
              "  function get_bokeh(root) {\n",
              "    if (root.Bokeh === undefined) {\n",
              "      return null\n",
              "    } else if (root.Bokeh.version !== py_version) {\n",
              "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
              "\treturn null\n",
              "      }\n",
              "      return root.Bokeh.versions.get(py_version);\n",
              "    } else if (root.Bokeh.version === py_version) {\n",
              "      return root.Bokeh\n",
              "    }\n",
              "    return null\n",
              "  }\n",
              "  function is_loaded(root) {\n",
              "    var Bokeh = get_bokeh(root)\n",
              "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
              "  }\n",
              "  if (is_loaded(root)) {\n",
              "    embed_document(root);\n",
              "  } else {\n",
              "    var attempts = 0;\n",
              "    var timer = setInterval(function(root) {\n",
              "      if (is_loaded(root)) {\n",
              "        clearInterval(timer);\n",
              "        embed_document(root);\n",
              "      } else if (document.readyState == \"complete\") {\n",
              "        attempts++;\n",
              "        if (attempts > 200) {\n",
              "          clearInterval(timer);\n",
              "\t  var Bokeh = get_bokeh(root)\n",
              "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
              "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
              "\t  } else {\n",
              "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
              "\t    embed_document(root)\n",
              "\t  }\n",
              "        }\n",
              "      }\n",
              "    }, 25, root)\n",
              "  }\n",
              "})(window);</script>"
            ],
            "application/vnd.holoviews_exec.v0+json": ""
          },
          "metadata": {
            "application/vnd.holoviews_exec.v0+json": {
              "id": "53cc45ae-0a87-402e-8085-9497026d3d3e"
            }
          }
        }
      ],
      "source": [
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import panel as pn\n",
        "\n",
        "#%matplotlib inline\n",
        "\n",
        "plt.switch_backend(\"agg\")\n",
        "\n",
        "pn.extension()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7a1509ac-bb79-4ccb-9fe1-c8d04ee515ae",
      "metadata": {
        "id": "7a1509ac-bb79-4ccb-9fe1-c8d04ee515ae"
      },
      "source": [
        "# Typical Example using Calculated Reservoir Fluid Properties\n",
        "\n",
        "## Calculate Reservoir Fluid Properties:\n",
        "- Viscosity of Live Oil at GOR and Reservoir Conditions\n",
        "- Voscisity of Water at Reservoir Conditions\n",
        "- Bo for Oil\n",
        "- Bw for Water is in progress and using 1.022 for now\n",
        "\n",
        "## Input Reservoir Fluid Parameters:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "20f72ee1-fd7d-4ffa-bd17-c4f95c8fcad7",
      "metadata": {
        "id": "20f72ee1-fd7d-4ffa-bd17-c4f95c8fcad7"
      },
      "outputs": [],
      "source": [
        "# Reservoir Temperature\n",
        "T = 150 # Reservoir Temperature in DegF\n",
        "rwt = T  # Rw reservoir temperature\n",
        "\n",
        "# Formation Brine Resistivity at Reservour Temperature\n",
        "Rw = 0.03\n",
        "rws = Rw\n",
        "\n",
        "# Reservour Fluid Information\n",
        "API = 30 # API of Oll\n",
        "GOR = 540 # GOR of Oil in scf/STB\n",
        "Gas_Sp_Grav = 0.65\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "2b7a230f-ee8f-4646-9122-700510e5e47b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2b7a230f-ee8f-4646-9122-700510e5e47b",
        "outputId": "4f645934-9e75-45de-e1b0-2a3d30b3e642"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Formation Brine:\n",
            " Rw = 0.03 , rwg = 0.03 , rw75 = 0.058 , Salinity of Formation Brine [ppm] = 137376.0\n",
            "\n",
            "Reservoir Fluids:\n",
            " VisLive Oil = 1.02 , Visc of Water = 0.59 , Bo = 1.27 , Bw = 1.022\n"
          ]
        }
      ],
      "source": [
        "'''\n",
        "Res Fluid Calculations\n",
        "'''\n",
        "\n",
        "# Constants\n",
        "tr = 460 + T\n",
        "\n",
        "# Compute RW at Formation Temp (DEG F)\n",
        "rwg = rws * (rwt + 7.) / (T + 7.)\n",
        "\n",
        "# Salinity KPPM\n",
        "rw75 = ((rwt + 6.77) * rws) / (75 + 6.77)\n",
        "\n",
        "# Sal in PPM\n",
        "sal = round((10 ** ((3.562 - np.log10(rw75 - 0.0123)) / 0.955)),0)\n",
        "\n",
        "# Other variable calculations (not provided in the code)\n",
        "\n",
        "# Get Viscosity of Water\n",
        "#visw = -0.23581 + 35.225 * temp**(-0.77557)\n",
        "visw = round(np.exp(0.90888431 - 0.0053020552*T*np.log(T) + 0.0012545298*T**1.5 + 0.000021391828*sal/np.log(sal)),2)\n",
        "\n",
        "print( 'Formation Brine:\\n Rw =',Rw,  ', rwg =',rwg, ', rw75 =', round(rw75,3), ', Salinity of Formation Brine [ppm] =',sal)\n",
        "\n",
        "# Matthews and Russell and Meehan: Live oil viscosity\n",
        "def calc_vis(API, GOR, T):\n",
        "    '''\n",
        "    'No pressure dependancy included. No reason given!\n",
        "    'VERSION 6 sep 2005\n",
        "    '''\n",
        "    Vis72      = 10 ** (np.exp(6.9824 - 0.04658 * API) * 72 ** (-1.163)) - 1\n",
        "    VisTemp    = (Vis72 + 1) ** ((T / 72) ** -1.163) - 1\n",
        "    #OFTRfact  = 1\n",
        "    VisLive = (10.715 * (GOR + 100) ** (-0.515)) * VisTemp ** ( 5.44 * (GOR + 150) ** (-0.338))\n",
        "    #had to put in the OFTR_factor in to get better match with the oil reservoir viscosity data in the OFTR tables\n",
        "\n",
        "    # Standing's correlation for FVFO Pg 22-10 of P.E.H.\n",
        "    Oil_Sp_Grav = 141.5 / (131.5 + API)\n",
        "    f = GOR * (Gas_Sp_Grav / Oil_Sp_Grav)**0.5 + 1.25 * T\n",
        "    Bo = 0.972 + 0.000147 * f**1.175\n",
        "    #Bw = 1.0 / (1 + 2.25e-5 * (Press - 14.7) - 6.5e-8 * (Press - 14.7)**2)\n",
        "\n",
        "\n",
        "    return VisLive, Bo\n",
        "\n",
        "\n",
        "VisLive, Bo = calc_vis(API, GOR, T)\n",
        "Bw = 1.022\n",
        "bo = round(Bo,2)\n",
        "vislive = round(VisLive,2)\n",
        "\n",
        "print()\n",
        "print( 'Reservoir Fluids:\\n VisLive Oil =', vislive,', Visc of Water =',visw,', Bo =',bo,', Bw =',Bw)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "511579eb-9e2a-4b01-a14a-27ecbd42ad7b",
      "metadata": {
        "id": "511579eb-9e2a-4b01-a14a-27ecbd42ad7b"
      },
      "source": [
        "# Interactive Relative Permeability Curves:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "9cad5381-c23b-4cff-ae29-96a88dbb5769",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "9cad5381-c23b-4cff-ae29-96a88dbb5769",
        "outputId": "09e8a28a-34dc-48d2-b309-a7d57483af79"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "  function now() {\n",
              "    return new Date();\n",
              "  }\n",
              "\n",
              "  var force = true;\n",
              "  var py_version = '3.4.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
              "  var reloading = false;\n",
              "  var Bokeh = root.Bokeh;\n",
              "\n",
              "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
              "    root._bokeh_timeout = Date.now() + 5000;\n",
              "    root._bokeh_failed_load = false;\n",
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              "\n",
              "  function run_callbacks() {\n",
              "    try {\n",
              "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
              "        if (callback != null)\n",
              "          callback();\n",
              "      });\n",
              "    } finally {\n",
              "      delete root._bokeh_onload_callbacks;\n",
              "    }\n",
              "    console.debug(\"Bokeh: all callbacks have finished\");\n",
              "  }\n",
              "\n",
              "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
              "    if (css_urls == null) css_urls = [];\n",
              "    if (js_urls == null) js_urls = [];\n",
              "    if (js_modules == null) js_modules = [];\n",
              "    if (js_exports == null) js_exports = {};\n",
              "\n",
              "    root._bokeh_onload_callbacks.push(callback);\n",
              "\n",
              "    if (root._bokeh_is_loading > 0) {\n",
              "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
              "      return null;\n",
              "    }\n",
              "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
              "      run_callbacks();\n",
              "      return null;\n",
              "    }\n",
              "    if (!reloading) {\n",
              "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
              "    }\n",
              "\n",
              "    function on_load() {\n",
              "      root._bokeh_is_loading--;\n",
              "      if (root._bokeh_is_loading === 0) {\n",
              "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
              "        run_callbacks()\n",
              "      }\n",
              "    }\n",
              "    window._bokeh_on_load = on_load\n",
              "\n",
              "    function on_error() {\n",
              "      console.error(\"failed to load \" + url);\n",
              "    }\n",
              "\n",
              "    var skip = [];\n",
              "    if (window.requirejs) {\n",
              "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
              "      root._bokeh_is_loading = css_urls.length + 0;\n",
              "    } else {\n",
              "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
              "    }\n",
              "\n",
              "    var existing_stylesheets = []\n",
              "    var links = document.getElementsByTagName('link')\n",
              "    for (var i = 0; i < links.length; i++) {\n",
              "      var link = links[i]\n",
              "      if (link.href != null) {\n",
              "\texisting_stylesheets.push(link.href)\n",
              "      }\n",
              "    }\n",
              "    for (var i = 0; i < css_urls.length; i++) {\n",
              "      var url = css_urls[i];\n",
              "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
              "\ton_load()\n",
              "\tcontinue;\n",
              "      }\n",
              "      const element = document.createElement(\"link\");\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.rel = \"stylesheet\";\n",
              "      element.type = \"text/css\";\n",
              "      element.href = url;\n",
              "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
              "      document.body.appendChild(element);\n",
              "    }    var existing_scripts = []\n",
              "    var scripts = document.getElementsByTagName('script')\n",
              "    for (var i = 0; i < scripts.length; i++) {\n",
              "      var script = scripts[i]\n",
              "      if (script.src != null) {\n",
              "\texisting_scripts.push(script.src)\n",
              "      }\n",
              "    }\n",
              "    for (var i = 0; i < js_urls.length; i++) {\n",
              "      var url = js_urls[i];\n",
              "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
              "\tif (!window.requirejs) {\n",
              "\t  on_load();\n",
              "\t}\n",
              "\tcontinue;\n",
              "      }\n",
              "      var element = document.createElement('script');\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.src = url;\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "    for (var i = 0; i < js_modules.length; i++) {\n",
              "      var url = js_modules[i];\n",
              "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
              "\tif (!window.requirejs) {\n",
              "\t  on_load();\n",
              "\t}\n",
              "\tcontinue;\n",
              "      }\n",
              "      var element = document.createElement('script');\n",
              "      element.onload = on_load;\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.src = url;\n",
              "      element.type = \"module\";\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "    for (const name in js_exports) {\n",
              "      var url = js_exports[name];\n",
              "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
              "\tif (!window.requirejs) {\n",
              "\t  on_load();\n",
              "\t}\n",
              "\tcontinue;\n",
              "      }\n",
              "      var element = document.createElement('script');\n",
              "      element.onerror = on_error;\n",
              "      element.async = false;\n",
              "      element.type = \"module\";\n",
              "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
              "      element.textContent = `\n",
              "      import ${name} from \"${url}\"\n",
              "      window.${name} = ${name}\n",
              "      window._bokeh_on_load()\n",
              "      `\n",
              "      document.head.appendChild(element);\n",
              "    }\n",
              "    if (!js_urls.length && !js_modules.length) {\n",
              "      on_load()\n",
              "    }\n",
              "  };\n",
              "\n",
              "  function inject_raw_css(css) {\n",
              "    const element = document.createElement(\"style\");\n",
              "    element.appendChild(document.createTextNode(css));\n",
              "    document.body.appendChild(element);\n",
              "  }\n",
              "\n",
              "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.3.min.js\", \"https://cdn.holoviz.org/panel/1.4.5/dist/panel.min.js\"];\n",
              "  var js_modules = [];\n",
              "  var js_exports = {};\n",
              "  var css_urls = [];\n",
              "  var inline_js = [    function(Bokeh) {\n",
              "      Bokeh.set_log_level(\"info\");\n",
              "    },\n",
              "function(Bokeh) {} // ensure no trailing comma for IE\n",
              "  ];\n",
              "\n",
              "  function run_inline_js() {\n",
              "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
              "      for (var i = 0; i < inline_js.length; i++) {\n",
              "\ttry {\n",
              "          inline_js[i].call(root, root.Bokeh);\n",
              "\t} catch(e) {\n",
              "\t  if (!reloading) {\n",
              "\t    throw e;\n",
              "\t  }\n",
              "\t}\n",
              "      }\n",
              "      // Cache old bokeh versions\n",
              "      if (Bokeh != undefined && !reloading) {\n",
              "\tvar NewBokeh = root.Bokeh;\n",
              "\tif (Bokeh.versions === undefined) {\n",
              "\t  Bokeh.versions = new Map();\n",
              "\t}\n",
              "\tif (NewBokeh.version !== Bokeh.version) {\n",
              "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
              "\t}\n",
              "\troot.Bokeh = Bokeh;\n",
              "      }} else if (Date.now() < root._bokeh_timeout) {\n",
              "      setTimeout(run_inline_js, 100);\n",
              "    } else if (!root._bokeh_failed_load) {\n",
              "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
              "      root._bokeh_failed_load = true;\n",
              "    }\n",
              "    root._bokeh_is_initializing = false\n",
              "  }\n",
              "\n",
              "  function load_or_wait() {\n",
              "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
              "    // versions of Bokeh and its dependencies at the same time.\n",
              "    // In recent versions we use the root._bokeh_is_initializing flag\n",
              "    // to determine whether there is an ongoing attempt to initialize\n",
              "    // bokeh, however for backward compatibility we also try to ensure\n",
              "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
              "    // before older versions are fully initialized.\n",
              "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
              "      root._bokeh_is_initializing = false;\n",
              "      root._bokeh_onload_callbacks = undefined;\n",
              "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
              "      load_or_wait();\n",
              "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
              "      setTimeout(load_or_wait, 100);\n",
              "    } else {\n",
              "      root._bokeh_is_initializing = true\n",
              "      root._bokeh_onload_callbacks = []\n",
              "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
              "      if (!reloading && !bokeh_loaded) {\n",
              "\troot.Bokeh = undefined;\n",
              "      }\n",
              "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
              "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
              "\trun_inline_js();\n",
              "      });\n",
              "    }\n",
              "  }\n",
              "  // Give older versions of the autoload script a head-start to ensure\n",
              "  // they initialize before we start loading newer version.\n",
              "  setTimeout(load_or_wait, 100)\n",
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              "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
              "    });\n",
              "    if (JS_MIME_TYPE in output.data) {\n",
              "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
              "    }\n",
              "    output_area._hv_plot_id = id;\n",
              "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
              "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
              "    } else {\n",
              "      window.PyViz.plot_index[id] = null;\n",
              "    }\n",
              "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
              "    var bk_div = document.createElement(\"div\");\n",
              "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
              "    var script_attrs = bk_div.children[0].attributes;\n",
              "    for (var i = 0; i < script_attrs.length; i++) {\n",
              "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
              "    }\n",
              "    // store reference to server id on output_area\n",
              "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
              "  }\n",
              "}\n",
              "\n",
              "/**\n",
              " * Handle when an output is cleared or removed\n",
              " */\n",
              "function handle_clear_output(event, handle) {\n",
              "  var id = handle.cell.output_area._hv_plot_id;\n",
              "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
              "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
              "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
              "  if (server_id !== null) {\n",
              "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
              "    return;\n",
              "  } else if (comm !== null) {\n",
              "    comm.send({event_type: 'delete', 'id': id});\n",
              "  }\n",
              "  delete PyViz.plot_index[id];\n",
              "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
              "    var doc = window.Bokeh.index[id].model.document\n",
              "    doc.clear();\n",
              "    const i = window.Bokeh.documents.indexOf(doc);\n",
              "    if (i > -1) {\n",
              "      window.Bokeh.documents.splice(i, 1);\n",
              "    }\n",
              "  }\n",
              "}\n",
              "\n",
              "/**\n",
              " * Handle kernel restart event\n",
              " */\n",
              "function handle_kernel_cleanup(event, handle) {\n",
              "  delete PyViz.comms[\"hv-extension-comm\"];\n",
              "  window.PyViz.plot_index = {}\n",
              "}\n",
              "\n",
              "/**\n",
              " * Handle update_display_data messages\n",
              " */\n",
              "function handle_update_output(event, handle) {\n",
              "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
              "  handle_add_output(event, handle)\n",
              "}\n",
              "\n",
              "function register_renderer(events, OutputArea) {\n",
              "  function append_mime(data, metadata, element) {\n",
              "    // create a DOM node to render to\n",
              "    var toinsert = this.create_output_subarea(\n",
              "    metadata,\n",
              "    CLASS_NAME,\n",
              "    EXEC_MIME_TYPE\n",
              "    );\n",
              "    this.keyboard_manager.register_events(toinsert);\n",
              "    // Render to node\n",
              "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
              "    render(props, toinsert[0]);\n",
              "    element.append(toinsert);\n",
              "    return toinsert\n",
              "  }\n",
              "\n",
              "  events.on('output_added.OutputArea', handle_add_output);\n",
              "  events.on('output_updated.OutputArea', handle_update_output);\n",
              "  events.on('clear_output.CodeCell', handle_clear_output);\n",
              "  events.on('delete.Cell', handle_clear_output);\n",
              "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
              "\n",
              "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
              "    safe: true,\n",
              "    index: 0\n",
              "  });\n",
              "}\n",
              "\n",
              "if (window.Jupyter !== undefined) {\n",
              "  try {\n",
              "    var events = require('base/js/events');\n",
              "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
              "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
              "      register_renderer(events, OutputArea);\n",
              "    }\n",
              "  } catch(err) {\n",
              "  }\n",
              "}\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "*[data-root-id] > * {\n",
              "  box-sizing: border-box;\n",
              "  font-family: var(--jp-ui-font-family);\n",
              "  font-size: var(--jp-ui-font-size1);\n",
              "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
              "}\n",
              "\n",
              "/* Override VSCode background color */\n",
              ".cell-output-ipywidget-background:has(\n",
              "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
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              ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
              "  background-color: transparent !important;\n",
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          },
          "metadata": {}
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        {
          "output_type": "display_data",
          "data": {},
          "metadata": {}
        },
        {
          "output_type": "execute_result",
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&quot; 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720px;&quot;&gt;&lt;/img&gt;\"}}]}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"79ad2b6b-b9b9-49b0-b8c4-d6b0829f0352\",\"attributes\":{\"plot_id\":\"24675fa4-56c4-4266-8545-f4413191b983\",\"comm_id\":\"0e52f9a052c6475e9e32b488b419b8be\",\"client_comm_id\":\"c92b2e0ec8004ad1a11bb68651e725ff\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
              "  var render_items = [{\"docid\":\"8788e946-5a35-4af8-b553-9fe5d712eb8a\",\"roots\":{\"24675fa4-56c4-4266-8545-f4413191b983\":\"cad013bb-b808-481c-8828-c8ded16b2959\"},\"root_ids\":[\"24675fa4-56c4-4266-8545-f4413191b983\"]}];\n",
              "  var docs = Object.values(docs_json)\n",
              "  if (!docs) {\n",
              "    return\n",
              "  }\n",
              "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
              "  async function embed_document(root) {\n",
              "    var Bokeh = get_bokeh(root)\n",
              "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
              "    for (const render_item of render_items) {\n",
              "      for (const root_id of render_item.root_ids) {\n",
              "\tconst id_el = document.getElementById(root_id)\n",
              "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
              "\t  const root_el = id_el.children[0]\n",
              "\t  root_el.id = root_el.id + '-rendered'\n",
              "\t  for (const child of root_el.children) {\n",
              "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
              "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
              "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
              "\t  }\n",
              "\t}\n",
              "      }\n",
              "    }\n",
              "  }\n",
              "  function get_bokeh(root) {\n",
              "    if (root.Bokeh === undefined) {\n",
              "      return null\n",
              "    } else if (root.Bokeh.version !== py_version) {\n",
              "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
              "\treturn null\n",
              "      }\n",
              "      return root.Bokeh.versions.get(py_version);\n",
              "    } else if (root.Bokeh.version === py_version) {\n",
              "      return root.Bokeh\n",
              "    }\n",
              "    return null\n",
              "  }\n",
              "  function is_loaded(root) {\n",
              "    var Bokeh = get_bokeh(root)\n",
              "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
              "  }\n",
              "  if (is_loaded(root)) {\n",
              "    embed_document(root);\n",
              "  } else {\n",
              "    var attempts = 0;\n",
              "    var timer = setInterval(function(root) {\n",
              "      if (is_loaded(root)) {\n",
              "        clearInterval(timer);\n",
              "        embed_document(root);\n",
              "      } else if (document.readyState == \"complete\") {\n",
              "        attempts++;\n",
              "        if (attempts > 200) {\n",
              "          clearInterval(timer);\n",
              "\t  var Bokeh = get_bokeh(root)\n",
              "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
              "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
              "\t  } else {\n",
              "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
              "\t    embed_document(root)\n",
              "\t  }\n",
              "        }\n",
              "      }\n",
              "    }, 25, root)\n",
              "  }\n",
              "})(window);</script>"
            ],
            "application/vnd.holoviews_exec.v0+json": "",
            "text/plain": [
              "Column\n",
              "    [0] Column\n",
              "        [0] FloatSlider(end=5, name='Corey Exponent m: Krw', value=3)\n",
              "        [1] FloatSlider(end=5, name='Corey Exponent n: Kro', value=3)\n",
              "        [2] FloatSlider(name='Connate Water: Swc', step=0.01, value=0.15)\n",
              "        [3] FloatSlider(name='Residual Oil: Sor')\n",
              "        [4] FloatSlider(end=10, name='Viscosity of Oil: μo', start=0.1, value=1.02)\n",
              "        [5] FloatSlider(name='Viscosity of Water: μw', start=0.1, value=0.59)\n",
              "    [1] Row\n",
              "        [0] Matplotlib(Figure, name='interactive00123')"
            ]
          },
          "metadata": {
            "application/vnd.holoviews_exec.v0+json": {
              "id": "24675fa4-56c4-4266-8545-f4413191b983"
            }
          },
          "execution_count": 6
        }
      ],
      "source": [
        "Kro_max = 1  # Maximum oil relative permeability\n",
        "Krw_max = 1  # Maximum water relative permeability\n",
        "\n",
        "\n",
        "# Define Corey's model functions for Kro and Krw\n",
        "def kro_corey(Sw, Swc, Sor, Kro_max, n):\n",
        "    return Kro_max * ((1 - Sw - Sor) / (1 - Swc - Sor))**n\n",
        "\n",
        "def krw_corey(Sw, Swc, Sor, Krw_max, m):\n",
        "    return Krw_max * ((Sw - Swc) / (1 - Swc - Sor))**m\n",
        "\n",
        "def swfr_1(Sw, Swc):\n",
        "    return ((Sw - Swc) / (1 - Swc))\n",
        "\n",
        "# Define fractional flow function\n",
        "def fractional_flow(Kro, Krw, μo, μw):\n",
        "    return 1 / (1 + Kro * μw / (Krw * μo))\n",
        "\n",
        "def relperm_plot(m, n, Swc, Sor,μo, μw):\n",
        "    # Generate water saturation values (Sw) from 0 to 1\n",
        "    Sw_values = np.linspace(0, 1, 20)\n",
        "\n",
        "    # Calculate Kro and Krw using Corey's model\n",
        "    Kro_values = kro_corey(Sw_values, Swc, Sor, Kro_max, n)\n",
        "    Krw_values = krw_corey(Sw_values, Swc, Sor, Krw_max, m)\n",
        "    swfr_values = swfr_1(Sw_values, Swc)\n",
        "\n",
        "\n",
        "    # Define oil and water viscosities\n",
        "    #μo = VisLive  # Oil viscosity (replace with your actual value)\n",
        "    #μw = visw   # Water viscosity (replace with your actual value)\n",
        "\n",
        "    # Calculate fractional flow (Fw)\n",
        "    Fw_values = fractional_flow(Kro_values, Krw_values, μo, μw)\n",
        "\n",
        "\n",
        "    # Plot the relative permeability curves\n",
        "    fig = plt.figure(figsize=(5, 5))\n",
        "    plt.plot(Sw_values, Krw_values, 'b-', label='Krw', linewidth = 4)\n",
        "    plt.plot(Sw_values, Kro_values, 'g-', label='Kro', linewidth = 4)\n",
        "    plt.plot(Sw_values, Fw_values , 'r--', label='fw' , linewidth = 2)\n",
        "    plt.plot(Sw_values, 1.2624*(((1-Sw_values)-0)/(1-0))*(((1-Sw_values)-0)/(1-Swc))**2 , \"gd\", label=\"Pirson Kro\")\n",
        "    plt.plot(Sw_values, (swfr_values**0.5) * (Sw_values**3.0), \"bd\", label=\"Pirson Krw\")\n",
        "\n",
        "    # Add labels and legend\n",
        "    plt.xlabel('Water Saturation (Sw)', color = 'blue')\n",
        "    plt.ylabel('Relative Permeability', color = 'blue')\n",
        "    plt.title('Sw vs. Relative Permeability and fw', color = 'blue')\n",
        "    plt.xlim(0.0, 1.0)\n",
        "    plt.ylim(0.0, 1.0)\n",
        "    plt.axvline(x=Swc,  color='cyan',    alpha=0.1,linestyle='-', label= '')\n",
        "    plt.axvline(x=1-Sor,  color='brown', alpha=0.1,linestyle='-.', label= '')\n",
        "    plt.axvspan(0,Swc   ,alpha=0.1,color='cyan',label='')\n",
        "    plt.axvspan(1-Sor,1 ,alpha=0.1,color='brown',label='')\n",
        "\n",
        "    plt.legend()\n",
        "    plt.grid(True)\n",
        "\n",
        "    # Show the plot\n",
        "    #plt.show()\n",
        "\n",
        "    return fig\n",
        "\n",
        "\n",
        "'''\n",
        "This is the Panel version for Notebok that works well\n",
        "'''\n",
        "corey_m_slider    = pn.widgets.FloatSlider(name='Corey Exponent m: Krw',start=0,end=5,step=0.1,value=3)\n",
        "corey_n_slider    = pn.widgets.FloatSlider(name='Corey Exponent n: Kro',start=0,end=5,step=0.1,value=3)\n",
        "corey_swc_slider  = pn.widgets.FloatSlider(name='Connate Water: Swc',start=0,end=1,step=0.01,value=0.15)\n",
        "corey_sor_slider  = pn.widgets.FloatSlider(name='Residual Oil: Sor' ,start=0,end=1,step=0.1,value=0)\n",
        "viso_slider       = pn.widgets.FloatSlider(name='Viscosity of Oil: μo' ,start=0.1,end=10,step=0.1,value=vislive)\n",
        "visw_slider       = pn.widgets.FloatSlider(name='Viscosity of Water: μw' ,start=0.1,end=1,step=0.1,value=0.59)\n",
        "\n",
        "pn.interact(relperm_plot,  m = corey_m_slider, n = corey_n_slider, Swc = corey_swc_slider, Sor = corey_sor_slider, μo = viso_slider, μw = visw_slider )\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "f9867333-8c32-449e-8025-1ceec1587c4a",
      "metadata": {
        "id": "f9867333-8c32-449e-8025-1ceec1587c4a"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}